Position/Title: Adjunct Professor
Dr. Sargolzaei's main areas of research are utilization of genomic information (microarray and NGS) in livestock precision breeding, investigating new methodologies to increase accuracy of predicted genomic breeding values, immunogenomics, imputation and computational genomics.
Dr. Sargolzaei has developed several novel statistical methods and software tools aiming at analysing large scale genomic data encountered in livestock populations. The driving force behind his software developments has been a keen interest in combining new statistical methods and advanced programming techniques for analysing big genomic data efficiently.
During his career, Dr. Sargolzaei has kept close ties with both university and industry. He has published more than 75 papers in peer-reviewed journals and more than 130 articles and abstracts in conference proceedings.